molten
Run a coding model at 300+ tok/s on your Mac. Native Rust + Metal inference engine for LiquidAI LFM2.5-24B-A2B (MLX 4-bit) on Apple Silicon.
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GITHUB · launched Oct 25, 2026 · 22 upvotes (top 54%) · 0 views
Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- apple-silicon
- gpu-kernels
- inference-engine
- inference-optimization
- lfm2
- liquid-ai
- +14 more
Visit website ↗ Source listing ↗
More like this: all 133 launches in llm inference engines →
Could you build this?
No A 300+ tok/s native Rust and Metal inference engine needs hand-optimized GPU kernels, quantized-model internals, and Apple GPU performance engineering. Generic vibe coding won't reach that performance.
What it would actually take: This requires writing custom Metal compute shaders, implementing the model architecture and 4-bit MLX weight format, and tuning memory layout and kernel fusion for Apple Silicon. It needs systems and GPU performance engineering expertise, and profiling tools to reach the claimed throughput.
Competitors
Other products that read as similar to this one : 333 launches clear the similarity bar, closest 8 shown.
Attention rank: #195 of 334 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 351 days after the earliest competitor.
- Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac · hn · 2026-07-29 · 919 upvotes · similarity 0.52
- saber-engine · github · 2026-11-05 · 59 upvotes · similarity 0.52
- tokspur · github · 2026-11-09 · 13 upvotes · similarity 0.48
- talus-public · github · 2026-10-28 · 30 upvotes · similarity 0.46
- gpui-liquid-glass · github · 2026-10-30 · 44 upvotes · similarity 0.45
- Gemma 3 inference in pure C++ with Metal acceleration · hn · 2026-07-04 · 6 upvotes · similarity 0.44
- IronMule · ph · 2026-09-17 · 1 upvotes · similarity 0.44
- kapitsa · github · 2026-10-16 · 155 upvotes · similarity 0.44
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.